File size: 4,674 Bytes
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from typing import Any, Callable, Mapping
DEFAULT_FLOAT = ("FLOAT", {"default": 0.0, "step": 0.001, "round": False})
FLOAT_UNARY_OPERATIONS: Mapping[str, Callable[[float], float]] = {
"Neg": lambda a: -a,
"Inc": lambda a: a + 1,
"Dec": lambda a: a - 1,
"Abs": lambda a: abs(a),
"Sqr": lambda a: a * a,
"Cube": lambda a: a * a * a,
"Sqrt": lambda a: math.sqrt(a),
"Exp": lambda a: math.exp(a),
"Ln": lambda a: math.log(a),
"Log10": lambda a: math.log10(a),
"Log2": lambda a: math.log2(a),
"Sin": lambda a: math.sin(a),
"Cos": lambda a: math.cos(a),
"Tan": lambda a: math.tan(a),
"Asin": lambda a: math.asin(a),
"Acos": lambda a: math.acos(a),
"Atan": lambda a: math.atan(a),
"Sinh": lambda a: math.sinh(a),
"Cosh": lambda a: math.cosh(a),
"Tanh": lambda a: math.tanh(a),
"Asinh": lambda a: math.asinh(a),
"Acosh": lambda a: math.acosh(a),
"Atanh": lambda a: math.atanh(a),
"Round": lambda a: round(a),
"Floor": lambda a: math.floor(a),
"Ceil": lambda a: math.ceil(a),
"Trunc": lambda a: math.trunc(a),
"Erf": lambda a: math.erf(a),
"Erfc": lambda a: math.erfc(a),
"Gamma": lambda a: math.gamma(a),
"Radians": lambda a: math.radians(a),
"Degrees": lambda a: math.degrees(a),
}
FLOAT_UNARY_CONDITIONS: Mapping[str, Callable[[float], bool]] = {
"IsZero": lambda a: a == 0.0,
"IsPositive": lambda a: a > 0.0,
"IsNegative": lambda a: a < 0.0,
"IsNonZero": lambda a: a != 0.0,
"IsPositiveInfinity": lambda a: math.isinf(a) and a > 0.0,
"IsNegativeInfinity": lambda a: math.isinf(a) and a < 0.0,
"IsNaN": lambda a: math.isnan(a),
"IsFinite": lambda a: math.isfinite(a),
"IsInfinite": lambda a: math.isinf(a),
"IsEven": lambda a: a % 2 == 0.0,
"IsOdd": lambda a: a % 2 != 0.0,
}
FLOAT_BINARY_OPERATIONS: Mapping[str, Callable[[float, float], float]] = {
"Add": lambda a, b: a + b,
"Sub": lambda a, b: a - b,
"Mul": lambda a, b: a * b,
"Div": lambda a, b: a / b,
"Mod": lambda a, b: a % b,
"Pow": lambda a, b: a**b,
"FloorDiv": lambda a, b: a // b,
"Max": lambda a, b: max(a, b),
"Min": lambda a, b: min(a, b),
"Log": lambda a, b: math.log(a, b),
"Atan2": lambda a, b: math.atan2(a, b),
}
FLOAT_BINARY_CONDITIONS: Mapping[str, Callable[[float, float], bool]] = {
"Eq": lambda a, b: a == b,
"Neq": lambda a, b: a != b,
"Gt": lambda a, b: a > b,
"Gte": lambda a, b: a >= b,
"Lt": lambda a, b: a < b,
"Lte": lambda a, b: a <= b,
}
class FloatUnaryOperation:
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {
"required": {
"op": (list(FLOAT_UNARY_OPERATIONS.keys()),),
"a": DEFAULT_FLOAT,
}
}
RETURN_TYPES = ("FLOAT",)
FUNCTION = "op"
CATEGORY = "math/float"
def op(self, op: str, a: float) -> tuple[float]:
return (FLOAT_UNARY_OPERATIONS[op](a),)
class FloatUnaryCondition:
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {
"required": {
"op": (list(FLOAT_UNARY_CONDITIONS.keys()),),
"a": DEFAULT_FLOAT,
}
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "op"
CATEGORY = "math/float"
def op(self, op: str, a: float) -> tuple[bool]:
return (FLOAT_UNARY_CONDITIONS[op](a),)
class FloatBinaryOperation:
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {
"required": {
"op": (list(FLOAT_BINARY_OPERATIONS.keys()),),
"a": DEFAULT_FLOAT,
"b": DEFAULT_FLOAT,
}
}
RETURN_TYPES = ("FLOAT",)
FUNCTION = "op"
CATEGORY = "math/float"
def op(self, op: str, a: float, b: float) -> tuple[float]:
return (FLOAT_BINARY_OPERATIONS[op](a, b),)
class FloatBinaryCondition:
@classmethod
def INPUT_TYPES(cls) -> Mapping[str, Any]:
return {
"required": {
"op": (list(FLOAT_BINARY_CONDITIONS.keys()),),
"a": DEFAULT_FLOAT,
"b": DEFAULT_FLOAT,
}
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "op"
CATEGORY = "math/float"
def op(self, op: str, a: float, b: float) -> tuple[bool]:
return (FLOAT_BINARY_CONDITIONS[op](a, b),)
NODE_CLASS_MAPPINGS = {
"CM_FloatUnaryOperation": FloatUnaryOperation,
"CM_FloatUnaryCondition": FloatUnaryCondition,
"CM_FloatBinaryOperation": FloatBinaryOperation,
"CM_FloatBinaryCondition": FloatBinaryCondition,
}
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